Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...
Abstract: Computationally modelling the affective content of images has been extensively studied recently because of its wide applications in entertainment, advertisement, and education. Significant ...
Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...
ABSTRACT: Draxler and Zessin [1] derived the power function for a class of conditional tests of assumptions of a psychometric model known as the Rasch model and suggested an MCMC approach developed by ...
Probability is concerned with interpreting and comprehending life’s random events. Randomness and uncertainty are present in our everyday lives and every field of research, engineering, and technology ...
Hi, awesome library! My use case is to use RL for resource allocation. Therefore it's ideal if the input into the "step" method in the environment is a probability distribution which can correspond to ...
One confusing question over a long period of time is how transfer the discrete function transfers into continuous function. Recently the issue has been resolved but some details of the transformation ...
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